Superhuman
Consumer · AI email assistant (acquired Grammarly 2025)
Superhuman currently has 10 active AI-related job listings. The majority of these roles, 80%, are focused on agents. Engineering is the most frequent function with 6 listings, followed by Product with 4. The company is hiring for roles involving agent orchestration, LLM observability, and tool use. In the last 30 days, Superhuman posted 2 new AI roles, representing an 87% decrease compared to the prior 30-day period.
Currently tracking 4 active AI roles, down 54% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $123k–$264k (avg $192k).
Consumer · AI email assistant (acquired Grammarly 2025)
Superhuman currently has 8 active AI-related roles in our index. The most common open titles are: Data Engineer, Director, Data Science, Senior Design Technologist, AI Tooling, Senior Product Designer, Android, Software Engineer, Back-End. Most positions are in Engineering and Product.
Superhuman's active AI hiring is concentrated in: agents (75%), application (13%), data (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Superhuman most frequently mention: React, JavaScript, Tool Use, System Design, Structured Output.
In the past 30 days, Superhuman has posted 1 new AI-related role. That is a -86% change versus the prior 30 days (7 → 1).
| Title | Stage | AI score |
|---|---|---|
| Director Product Management, Data Director of Product Management, Data at Superhuman, focusing on data products that power AI experiences, internal tools, and data infrastructure for a B2B SaaS company. The role involves owning product strategy, leading experimentation frameworks, and managing a team of PMs, with a strong emphasis on AI integration into daily workflows and customer experiences. | Ship | 5 |
| Director, Data Science Director, Data Science to lead the data science strategy and team for a core product in an AI-native suite, focusing on agentic features and AI-powered productivity. The role involves shaping data's influence on product direction, investment, and user experience, partnering with cross-functional teams to drive growth and impact. Responsibilities include building and mentoring a high-performing team, guiding them on high-impact questions, developing experimentation and measurement practices, and ensuring decisions are grounded in user understanding and business outcomes. This role requires leadership in fast-moving environments, analytical rigor, and developing exceptional teams, with the ability to balance vision and execution. |
| Ship |
| 5 |